histogrammar.primitives.categorize.Categorize

class histogrammar.primitives.categorize.Categorize(quantity, value=<Count 0.0>)[source]

Bases: histogrammar.defs.Factory, histogrammar.defs.Container

Split a given quantity by its categorical value and fill only one category per datum.

A bar chart may be thought of as a histogram with string-valued (categorical) bins, so this is the equivalent of Bin for bar charts. The order of the strings is deferred to the visualization stage.

Unlike SparselyBin, this aggregator has the potential to use unlimited memory. A large number of distinct categories can generate many unwanted bins.

__add__(other)

Add two containers of the same type. The originals are unaffected.

__init__(quantity, value=<Count 0.0>)

Create a Categorize that is capable of being filled and added.

Parameters:
  • quantity (function returning float) – computes the quantity of interest from the data.
  • value (Container) – generates sub-aggregators to put in each bin.
Other Parameters:
 
  • entries (float) – the number of entries, initially 0.0.
  • bins (dict from str to Container) – the map, probably a hashmap, to fill with values when their entries become non-zero.
binsMap

Input bins as a key-value map.

children

List of sub-aggregators, to make it possible to walk the tree.

copy()

Copy this container, making a clone with no reference to the original.

static ed(entries, contentType, binsAsDict=None, **bins)

Create a Categorize that is only capable of being added.

Parameters:
  • entries (float) – the number of entries.
  • contentType (str) – the value’s sub-aggregator type (must be provided to determine type for the case when bins is empty).
  • bins (dict from str to Container) – the non-empty bin categories and their values.
factory

Reference to the container’s factory for runtime reflection.

fill(datum, weight=1.0)

Increment the aggregator by providing one datum to the fill rule with a given weight.

Usually all containers in a collection of histograms take the same input data by passing it recursively through the tree. Quantities to plot are specified by the individual container’s lambda functions.

The container is changed in-place.

fromJson(json)

User’s entry point for reconstructing a container from JSON text.

static fromJsonFragment(json, nameFromParent)

staticmethod(function) -> method

Convert a function to be a static method.

A static method does not receive an implicit first argument. To declare a static method, use this idiom:

class C: def f(arg1, arg2, ...): ... f = staticmethod(f)

It can be called either on the class (e.g. C.f()) or on an instance (e.g. C().f()). The instance is ignored except for its class.

Static methods in Python are similar to those found in Java or C++. For a more advanced concept, see the classmethod builtin.

get(x)

Attempt to get key x, returning None if it does not exist.

getOrElse(x, default)

Attempt to get key x, returning an alternative if it does not exist.

static ing(quantity, value=<Count 0.0>)

Synonym for __init__.

keySet

Set of keys among the bins.

keys

Iterable over the keys of the bins.

name

Name of the concrete Factory as a string; used to label the container type in JSON.

plot(httpServer=None, **parameters)

Generate a VEGA visualization and serve it via HTTP.

register(factory)

Add a new Factory to the registry, introducing a new container type on the fly. General users usually wouldn’t do this, but they could. This method is used internally to define the standard container types.

size

Number of bins.

specialize()

Explicitly invoke histogrammar.specialized.addImplicitMethods on this object, usually right after construction (in each of the methods that construct: __init__, ed, ing, fromJsonFragment, etc).

Objects used as default parameter arguments are created too early for this to be possible, since they are created before the histogrammar.specialized module can be defined. These objects wouldn’t satisfy any of addImplicitMethod‘s checks anyway.

toImmutable()

Return a copy of this container as though it was created by the ed function or from JSON (the “immutable form” in languages that support it, not Python).

toJson()

Convert this container to dicts and lists representing JSON (dropping its fill method).

Note that the dicts and lists can be turned into a string with json.dumps.

toJsonFragment(suppressName)

Used internally to convert the container to JSON without its "type" header.

values

Iterable over the values of the bins.

zero()

Create an empty container with the same parameters as this one. The original is unaffected.